Literature DB >> 15965252

Positive assortative mating with family size as a function of predicted parental breeding values.

M Lstiburek1, T J Mullin, T F C Mackay, D Huber, B Li.   

Abstract

While other investigations have described benefits of positive assortative mating (PAM) for forest tree breeding, the allocation of resources among mates in these studies was either equal or varied, using schemes corresponding only to parental rank (i.e., more resources invested in higher-ranking parents). In this simulation study, family sizes were proportional to predicted midparent BLUP values. The distribution of midparent BLUP values was standardized by a constant, which was varied to study the range of distributions of family size. Redistributing progenies from lower- to higher-ranking families to a point where an equal number of progenies were still selected out of each family to the next generation caused minimal change in group coancestry and inbreeding in the breeding population (BP), while the additive genetic response and variance in the BP were both greatly enhanced. This generated additional genetic gains for forest plantations by selecting more superior genotypes from the BP (compared to PAM with equal family sizes) for production of improved regeneration materials. These conclusions were verified for a range of heritability under a polygenic model and under a mixed-inheritance model with a QTL contributing to the trait variation.

Mesh:

Year:  2005        PMID: 15965252      PMCID: PMC1456834          DOI: 10.1534/genetics.105.041723

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  8 in total

1.  Two-stage selection strategies utilizing marker-quantitative trait locus information and individual performance.

Authors:  L Gomez-Raya; G Klemetsdal
Journal:  J Anim Sci       Date:  1999-08       Impact factor: 3.159

2.  Balanced vs. slightly unbalanced selection.

Authors:  L Sánchez Rodríguez
Journal:  Heredity (Edinb)       Date:  2000-06       Impact factor: 3.821

3.  Positive assortative mating with selection restrictions on group coancestry enhances gain while conserving genetic diversity in long-term forest tree breeding.

Authors:  O Rosvall; T J Mullin
Journal:  Theor Appl Genet       Date:  2003-07-08       Impact factor: 5.699

4.  Open-nucleus breeding strategies compared with population-wide positive assortative mating: II. Unequal distribution of testing effort.

Authors:  M Lstibůrek; T J Mullin; D Lindgren; O Rosvall
Journal:  Theor Appl Genet       Date:  2004-10       Impact factor: 5.699

5.  Maximizing gain per effort by using clonal replicates in genetic tests.

Authors:  D V Shaw; J V Hood
Journal:  Theor Appl Genet       Date:  1985-12       Impact factor: 5.699

6.  Maximizing the response of selection with a predefined rate of inbreeding.

Authors:  T H Meuwissen
Journal:  J Anim Sci       Date:  1997-04       Impact factor: 3.159

7.  Assortative mating and artificial selection.

Authors:  R J Baker
Journal:  Heredity (Edinb)       Date:  1973-10       Impact factor: 3.821

8.  Group inbreeding and coancestry.

Authors:  C C Cockerham
Journal:  Genetics       Date:  1967-05       Impact factor: 4.562

  8 in total
  2 in total

1.  Optimum contribution selection in large general tree breeding populations with an application to Scots pine.

Authors:  Jon Hallander; Patrik Waldmann
Journal:  Theor Appl Genet       Date:  2009-01-31       Impact factor: 5.699

2.  Optimization of selection contribution and mate allocations in monoecious tree breeding populations.

Authors:  Jon Hallander; Patrik Waldmann
Journal:  BMC Genet       Date:  2009-11-06       Impact factor: 2.797

  2 in total

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